LinkedIn Research Report.docx - community.mis.temple.edu€¦ · Web viewUsed SPSS software to...
Transcript of LinkedIn Research Report.docx - community.mis.temple.edu€¦ · Web viewUsed SPSS software to...
LINKEDIN RESEARCH PROJECT REPORT
Adrian Adamson
David Carpenter
Marketing Research Darren McIlvaire
MKTG 3511 Sec 003 Musa Njie
May 7, 2014 Nathan Krinsky
TABLE OF CONTENTS
Table of Contents………………………………………………………………..………. Page 1
Executive Summary………………………………………………………………..……. Page 2
Introduction…………………………………………………………………...……. Pages 2 - 3
Research Methodology & Survey Information……………………………..…….. Pages 3 - 6
➢ Secondary Research……………………………………………………..………… Page 3
➢ Exploratory Research………………………………………………..…………….. Page 4
➢ Survey Administration……………………………………………………………. Page 5
➢ Sample…………………………………………………………...……………. Pages 5 - 6
Research Results & Data Analysis……………………………………….……….. Pages 7 - 19
➢ Univariate Analysis & Interpretation………...……………………………... Pages 7 - 15
➢ Multivariate Analysis & Interpretation…………………………………..... Pages 15 - 19
Research Project Limitations……………………………………………..………….. Page 20
Research Conclusions & Recommendations………………………………...…... Page 20 - 21
What we Learned……………………………………………………………………… Page 21
Appendices………………………………………………………………………... Pages 22 - 76
➢ Data Collection Form.…………………………………………………...… Page 22 - 23
➢ Completed Questionnaires……………………………………………....… Pages 24 – 31
➢ SPSS Data Files…………………………….………………….……….….. Pages 32 - 76
➢ Bibliography………………………………………………………………...…… Page 77
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Executive Summary
The objective of our research was to measure the correlation between LinkedIn and internship
placement among students. We accomplished this task using the following steps:
Created clearly defined and measurable research objectives
Routine group meetings to establish progression, thoughts, and concerns
Completion of survey and administration via Qualtrics
Used SPSS software to determine significance levels among variables
Analyzed and interpreted univariate and multivariate statistics to help explain
relationships and/or correlations between variables
Used secondary and exploratory research to compare and contrast survey design,
research objectives, and findings
Clearly defined limitations pre and post survey administration
Reached conclusions via interpretation of the data
Highlighted learning curve and things to be changed in the future
Included sources and bibliography
Introduction
The purpose of our study was to find out if LinkedIn can truly help students find
internships. To determine if this was the case, we created an online survey using Qualtrics and
distributed it via email to as many juniors and seniors at Temple University as we could in the
time we had. Next, we carefully created a set research objectives to help keep our information
focused. These objectives are:
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To find out how much social networking really contributes to Internship placement.
Identify the correlation between LinkedIn and securing an internship.
Analyze the relationship between the amount of LinkedIn connections and a student’s
ability to find an internship before graduation
We then established three hypotheses to test with the results from our survey. These
hypotheses are as follows:
➢ 1. There is a correlation between the amount of connections a student has on LinkedIn
and the likelihood of them finding an internship before graduation.
➢ 2. There is a significant correlation between a student’s perception of how effective
LinkedIn is during the internship search process and securing an internship before
graduation.
3. There is a relationship between how often a student uses LinkedIn and finding an
internship before graduation.
We used SPSS software to analyze and interpret our survey results and answer our proposed
questions. After the data analysis was complete we were able to compare our data to
secondary data we had previously collected, and determine that both our collected data and
the secondary data agreed. By doing this we were able to determine whether or not LinkedIn
can be a useful tool for students trying to secure an internship.
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RESEARCH METHODOLOGY & SURVEY INFORMATION
Secondary Research:
We conducted secondary research to learn about our topic on LinkedIn further and
whether it helps college students gain internships. We used three scholarly sources which
include a CNN Money article “How LinkedIn Will Fire Up your Career,” a newsletter from
Wesleyan University on Career Connections, and a case study of workplace use of Facebook and
LinkedIn from the University of Washington. Through our secondary research we have found
that in this day and age companies are relying on LinkedIn to help them find talent during the
recruiting process. According to John Campagnino, head of global Recruiting for Accenture, the
main reason for his company using LinkedIn to recruit 40% of their future hires is that “it makes
for cheaper, faster and more effective recruiting for employers. This is the future of recruiting
for our company.” Through our research we have found that many statistics agree with Mr.
Campagnino. According to our source, when social Networks Cross Boundaries: A Case Study
of Workplace Use of Facebook and LinkedIn, “94% of recruiters use LinkedIn to vet candidates
and 89% of all recruiters report having hired someone through LinkedIn at some point in time.
73% of recruiters filled a position using Linked in 2012 which is a 15% increase from 2011.”
These statistics show how helpful LinkedIn can be in obtaining an internship and or job and how
the use of LinkedIn from recruiters is increasing dramatically. LinkedIn provides students and
recent grads with thousands of internships and entry level jobs. According to a Newsletter from
Wesleyan University, “Employers who used LinkedIn to hire found a 49% improvement in
candidate quality over candidates sourced only through traditional recruiting channels.” A
recruiter in the same article exclaimed, “I don’t know what we did before LinkedIn happened.”
We have found through our research that in this day and age companies are relying more and
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more on sites like LinkedIn to help them find the right talent. Our secondary research gave us
the information necessary for us to make an effective survey to conduct our exploratory research.
Exploratory Research: For a copy of our survey see appendix Data Collection Form
After conducting our secondary research we decided to conduct some research of our
own. We decided that Junior and Senior Temple student’s would be the best sample to pull from
considering that they are the majority age group looking to obtain internships and are close to
graduation, after which they will be looking to obtain jobs. We developed a survey using
Qualtrics and had a little over 50 respondents. We asked questions to these applicants such as
“has LinkedIn every helped you obtain an internship.” Because of Time constraints we didn’t
get as many quality responses as we had hoped for. Also through our secondary and exploratory
research we have found that LinkedIn is more beneficial and friendly to graduates and people
looking for jobs rather than internships. Given more time we would have conducted other ways
to get our survey out other than just sending out a mass email. One method we thought could
have been effective was to stand out front of the CSPD office, because odds are the students
visiting this office are probably more likely to have LinkedIn because they are serious with their
future careers. Our results from our exploratory research will be analyzed further in this paper.
Survey Administration:
We created a survey using Qualtrics and sent it out via email to as many Temple business
students as we could. We chose this survey method for multiple reasons. First of all, using
Qualtrics was a very easy way to distribute the survey opposed to printing it out and handing it
out to people who would most likely just throw it away or ignore it. It saved our respondents a
lot of time by simply clicking the web link and taking two-three minutes to fill it out. It also
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saved time on the research end because Qualtrics was able to easily tally our results in SPSS so
that we could make our conclusions without having to go through each individual survey one by
one. Furthermore, the survey administration was very cost friendly. We did not have to pay or
incentivize anyone to come in for an interview and we saved money on distribution and printing
costs by having it online.
Sample Information:
Our sampling framework was built by surveying temple students and more specifically,
Fox Business students. Anyone was welcome to take our survey but we found that the biggest
sample was juniors and seniors in the fox school because for the most part these are the students
that are experimenting with LinkedIn accounts and trying to find an internship before graduation.
We also took into consideration that the business world is about building connections through
networking so we thought that this survey would be most relevant to business students since this
has proven to be a very effective way of creating connections and landing students jobs and
internships. Our sample ended up being comprised of 52 business students, all of which were
juniors and seniors. 44 of our respondents made it past the first question but then only 19 of
them got past question two. The biggest reason for the drop off could be one of two things.
Either people do not have a LinkedIn account because they have had success finding internships
through resources like FoxNet and Google or simply people become bored with the survey and
choose not to finish.
RESEARCH RESULTS & DATA ANALYSIS
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Univariate Analysis & Interpretation: For each variable in our survey, total of 20 variables.
SPSS outputs are available in the appendix.
Variable 1: Q.1 - Do you have a LinkedIn account? Yes/No
a.) Summary of Results: This question was answered by all 52 of our Survey
Respondents, 44 selected yes, and 8 selected No as their response. If the respondent selected No
as their response, this was the end of their survey.
b.) Interpretation of Results: We asked, as our first question, if the respondent has a
LinkedIn account, if they said no, this was the end of their survey. 44 of the 52 respondents, 84.6
%, selected yes and were able to continue with the survey. The 8 of 52, or 15.4 %, who selected
no were thanked for their participation and were finished.
Variable 2: Q.2 - Do you actively use LinkedIn? Yes/No
a.) Summary of Results: This was a precursor question and was answered by 41 of the
remaining 44 respondents. Unfortunately for us and the concreteness of our data, 19 of this 41
selected yes, and 22 selected no. Only respondents who selected yes as the answer to this
question moved on to complete the rest of our survey.
b.) Interpretation of Results: Our second question, also a precursor question, asked the
respondent, do you actively use LinkedIn? Of the 44 People who moved past question 1, 19 of
them said yes, 22 said No, and 3 were missing, meaning that 3 respondents stopped taking the
survey after question 1. The 19 of 41 valid respondents, or 46.3 %, moved on to complete the
rest of the survey.
Variable 3: Q.3 - Approximately how many followers (connections) do you have on LinkedIn?
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a.) Summary of Results: This was the first non-precursor question in our survey.
Respondents were given three choices to choose from; 0-50, 50-100, and 100+. All 19 remaining
respondents answered this question. 12 responded 0-50, 4 responded 50-100, and 3 responded
100+.
b.) Interpretation of Results: This variable was a very important to our research question
and hypotheses, as it will be used to test one of our hypotheses later in the report. 12 of 19
respondents answered 0-50 connections, or 63.2%, 4 of 19 respondents answered 50-100
connections, or 21.1%, and 3 respondents answered 100+ connections, or 15.8%. This leads us to
believe that most college students have a lower amount of LinkedIn connections.
Variable 4: Q.4 - In the past month, how many connections have you made on LinkedIn?
a.) Summary of Results: Respondents were given three answers to choose from; 0, 0-10,
and 10+. Answers were recorded as 1, 15, and 3 respectively.
b.) Interpretation of Results: When asked how many connections they’ve made in the past
month, of the 19 respondents only 1 answered 0, or validly 5.3%, 15 answered 0-10, valid
78.9%, and 3 answered 10+, or a valid 15.8%. As it is the end of the semester, we take these
results as semester long networking paying off.
Variable 5: Q.5 - Do you consider LinkedIn Connections to be valid, real world connections?
Yes/No
a.) Summary of Results: This question was a yes or no answer. 15 respondents selected
yes and 4 selected no, resulting in the mode, or most frequent answer, being yes.
b.) Interpretation of Results: 15 of 19 respondents, a valid percent of 78.9%, selected yes
while only 4 of 19, or 21.1% selected no. This question was asking the respondents opinion, and
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the answer is obvious, most college students in our target group view LinkedIn connections to be
valid, real world connections. This result is important in helping us better understand how
LinkedIn is viewed by some of its users.
Variable 6: Q.19 - What do you use LinkedIn for most? Nominal, fill in the blank.
a.) Summary & Interpretation of Results: We asked the respondents to tell us what they
use LinkedIn for the most, and we gave them the option to write whatever they wanted as an
answer, a nominal measurement, fill in the blank type of question. We only had a few
occurrences of two respondents write the same thing, their responses were ‘Networking,’ ‘jobs,’
‘job search(ing),’ and ‘internships.’ We wanted to find out what our respondents used LinkedIn
for most to help identify if LinkedIn is a good tool to find an internship.
Variable 7: Q.6 - Has anyone ever offered you an internship via LinkedIn? Yes/No
a.) Summary of Results: This question was a yes or no answer format, 7 respondents
answered yes while 12 answered no. The most frequently chosen answer was No.
b.) Interpretation of Results: 7 of 19, 36.8%, respondents answered yes to this question,
while 12 of 19 respondents, 63.2%, answered no. We were looking to find out if any respondents
were ever offered an internship via LinkedIn to try and answer some of our research questions
about any correlation between LinkedIn and internships. This result makes us lean towards the
possibility that LinkedIn is not the place to find an internship, but to get a definitive answer more
analysis is required.
Variable 8: Q.7 - Have you ever searched LinkedIn for Internships? Yes/No
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a.) Summary of Results: This question was given in yes or no answer format. 15
respondents selected yes, and 4 selected no, as such the mode answer to this question is yes.
b.) Interpretation of Results: 15 of 19 respondents, 78.9%, answered yes to this question
while 4 of 19, 21.1%, have answered no. The question is self-defining; we were trying to see
how many of our respondents have ever used LinkedIn to search for an internship. The results
further our suspicion that LinkedIn is not the proper tool for finding an internship, though more
analysis is required.
Variable 9: Q.8 - How many times do you use LinkedIn per Month?
a.) Summary of Results: This question is a scale type question with three possible
responses, 1-3, 3-10, and 10+. The frequencies of responses were 5, 9, and 5 respectively.
b.) Interpretation of Results: 5 of 19 respondents said they use LinkedIn 1-3 times per
month, validly 26.3%, 9 of 19 respondents answered 3-10 times per month, 47.4%, and 5 of 19,
26.3%, responded that they use LinkedIn 10+ times per month. These results, where 3-10 times
per month is the most frequently chosen, will be used to find a correlation, if any, between
securing an internship and the amount a student uses LinkedIn per month.
Variable 10: Q.9 - What percentage of your collegiate friends use LinkedIn?
a.) Summary of Results: There were 4 possible answers to this question, 1-10%, 10-25%,
25-50%, and 50%+. The respective frequencies of responses we observed were 3, 4, 6, and 6.
The most frequent chosen answers were 25-50% and 50%+.
b.) Interpretation of Results: 3 of 19 respondents, a valid 15.8%, told us that between 1-
10% of their collegiate friends use LinkedIn, 4 of 19, 21.1%, told us between 10-25% of their
collegiate friends use LinkedIn, 6 of 19 respondents, 31.6%, told us between 25-50% of their
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collegiate friends use LinkedIn, and 6 of 19 respondents, also 31.6%, told us that more than 50%
of their collegiate friends use LinkedIn. We observe from these results that most of our
respondents, 63.2%, say that between 25% and more than 50% of their collegiate friends use
LinkedIn.
Variable 11: Q.10 - Do you believe LinkedIn helps young professionals find internships?
Yes/No
a.) Summary of Results: This question again uses a yes or no answer format. The results
of this question are significantly more definitive than past questions though, 17 respondents
selected yes while only 2 selected no. Obviously the most frequent response was yes.
b.) Interpretation of Results: 17 of 19 respondents, a valid percentage of 89.5%, answered
yes to this question while only 2 of 19, or 10.5%, answered no. These results tell us we can
almost definitively say that the perception of our target population is that LinkedIn does indeed
help young professionals find internships.
Variable 12: Q.11 - Where do you consider the best place to find an internship?
a.) Summary & Interpretation of Results: This question was a nominal, fill in the blank
type of answer question, so we got a variety of different responses from people. No two
respondents submitted the exact same answer, so we will not include this data in any further
analysis we compute. A few of the responses we received were; LinkedIn - mentioned three
times, Foxnet - mentioned six times, the internet, networking, and personal connections. We can
conclude from the results of this question that our respondents believe Foxnet to be the best place
to find an internship.
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Variable 13: Q.12 - Was your account created entirely voluntarily? Yes/No
a.) Summary of Results: The respondents were given two answers to choose from, yes or
no. 11 participants chose yes, while 8 chose no. Yes was the most frequent response for this
question.
b.) Interpretation of Results: 11 of 19 respondents, 57.9%, told us that yes, their LinkedIn
account was created entirely voluntarily while 8 of 19, 42.1%, told us the opposite, that no their
LinkedIn account was not created entirely voluntarily. While we did not ask the reason their
account was not created entirely voluntarily, we can still observe that more than half of our
respondents did indeed create their LinkedIn accounts voluntarily.
Variable 14: Q.13 - Is your profile complete and up-to-date? Yes/No
a.) Summary of Results: Respondents were asked if their LinkedIn profile is complete
and up-to-date, they were given two responses, yes and no. 15 respondents said yes their profile
is complete and up to date while 4 respondents said no, their profile is not complete and up-to-
date.
b.) Interpretation of Results: 15 of 19 respondents, 78.9% valid, told us that their profile
is complete and up-to-date while 4 of 19, 21.1%, told us the opposite, that their profile is not
complete and up-to-date. We can interpret these results and say most of our respondents have a
complete and up-to-date LinkedIn profile. These results can be used to answer the question of a
complete and up-to-date LinkedIn profile increasing the chances of finding an internship.
Variable 15: Q.14 - Have you completed an Internship? Yes/No
a.) Summary of Results: Respondents selected yes or no as an answer to the question
‘Have you completed an Internship?’ 11 respondents selected yes while 8 selected no.
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b.) Interpretation of Results: 11 of 19 respondents, 57.9% valid, told us they have
completed an internship and 8 of 19, 42.1% told us they have no completed an internship. These
results are interesting but alone cannot tell us anything about our research question. We will
likely not use these results in further comparisons
Variable 16: Q.15 - Have you secured an Internship before Graduating? Yes/No
a.) Summary of Results: This question is one that will be used to test all of our
hypotheses, and as such the results are more important to our study. 13 respondents answered yes
and only 6 answered no. The most frequent response was yes.
b.) Interpretation of Results: 13 of 19 respondents, 68.4%, told us they have secured an
internship before graduating and 6 of 19, 31.6%, told us they have not. These results tell us that
the majority of our respondents have secured an internship before graduating, and one could
infer that they counter the results of some of our previous variables. That however is not the
case, the majority of our respondents have secured an internship, yes, but the question we must
ask now whether it was the result of using LinkedIn or not.
Variable 17: Q.16 - Do you intend to complete an internship before graduation? Yes/No
a.) Summary of Results: Again, respondents were given a yes or no format. This time
however, all 19 respondents selected yes.
b.) Interpretation of Results: 100% of valid respondents selected yes as their answer to
this question. These results are important because we can now compare the amount of
respondents who intend on completing an internship to other variables, using this as a base. It
will help us get more concrete answers to correlations between variables by serving as an extra
comparable variable.
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Variable 18: Q.17 - Have you ever applied for an internship? Yes/No
a.) Summary of Results: Again we gave respondents the choice between yes and no as
answers. 16 respondents answered yes, they have applied for an internship before while 3
answered no they have never before applied for an internship.
b.) Interpretation of Results: 16 of 19 respondents, 84.2%, told us they have applied for
an internship in the past and only 3 of 19, 15.8% of respondents, told us they have not. This is an
important variable to our research because we will be able to compare the respondents who have
applied for an internship; to those who intend on completing one, to those who intend on
completing an internship, or even to those who have secured an internship.
Variable 19: Q.18 - In which order do you value these tools for finding an internship?
Rank/Order
a.) Summary of Results: This question was presented as a rank order question with 4
options. The respondents were asked to put the four options; Fox’s CSPD department, LinkedIn,
The Internet, and personal connections, in the order in which they value them most.
b.) Interpretation of Results: Overall, our respondents ordered these options in this order;
Fox’s CSPD department was first, personal connections second, LinkedIn third, and the Internet
fourth. This question gives us some insight on how our respondents feel about LinkedIn’s value
as a tool for finding an internship when compared to some other tools for the same purpose. The
results of this question will likely not make it into further analyses.
Variable 20: Q.20 - In your opinion, how effective is LinkedIn during the internship search
process?
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a.) Summary of Results: The respondents were given a scale with 4 points to measure
perceived effectiveness of LinkedIn during the internship search process. The scale points were;
Ineffective, Neither effective nor ineffective, Effective, and Very effective. The frequencies of
responses were 2, 5, 9, and 3 respectively.
b.) Interpretation of Results: We observed that 2 of 19 or 10.5% of respondents said they
perceive LinkedIn as ineffective during the internship search process, 5 of 19, 26.3%, responded
that LinkedIn is neither effective nor ineffective during the process, 9 of 19 respondents, 47.4%,
told us they perceive LinkedIn as effective during the search process and 3 of 19, 15.8%,
respondents say LinkedIn is very effective during the internship search process. These results
give us insight to the perceived effectiveness of LinkedIn during the internship search process
and will be an ideal variable to use to help answer our research questions.
Multivariate Analysis & Interpretation: Using only variables that will help decide our
hypotheses.
Hypotheses & Analyses
➢ 1. There is a correlation between the amount of connections a student has on LinkedIn
and the likelihood of them finding an internship before graduating.
Approximately how many followers do you have on LinkedIn? * Have you secured an
internship before graduation? Crosstabulation
Count
Have you secured an internship
before graduation?
Total
15
Yes No
Approximately how many
followers do you have on
LinkedIn?
0-50 7 5 12
50-100 3 1 4
100+ 3 0 3
Total 13 6 19
Chi-Square Tests
Value df
Asymp. Sig. (2-
sided)
Pearson Chi-Square 2.030a 2 .362
Likelihood Ratio 2.900 2 .235
Linear-by-Linear Association 1.902 1 .168
N of Valid Cases 19
Interpretation of Analysis: We perform a cross tabs test with Chi-Squared tests on the two
variables, variable 3 and 16. This will tell us the correlation, if there is one, between the amount
of connections a student has on LinkedIn and if they have found an Internship before graduating.
We observe, as we previously did, of the 19 respondents responding to the three choices for
variable 3; 12 respondents selected 0-50, 4 selected 50-100, and 3 selected 100+. Of the 12
respondents selecting 0-50, 7 (58.33%) said they have secured an internship before graduating
while 5 (41.66%) said they did not. Of the 4 students who selected the response 50-100
connections, 3 (75%) said they have secured an internship before graduating while 1 (25%) did
not. And finally, all of the 3 (100%) respondents who selected 100+ connections said that they
have secured an internship. These results tell us that there is a positive correlation between these
two variables, according to our results the more LinkedIn connections a student has will lead to a
better likelihood of them finding an internship before graduation. Before we conclude our
analysis of this data, we must look at the Chi-Squared tests to see how significant the correlation
really is. To find if the correlation is significant, we look at the Pearson Chi-Squared row,
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significance column. The value here is (.362), and to be considered statistically significant, we
were looking for a significance level of less than (.050). We reject our hypothesis because there
is no statistically significant correlation between these two variables.
➢ 2. There is a significant correlation between a student’s perception of how effective
LinkedIn is during the internship search process and securing an internship before
graduating.
In your opinion, how effective is LinkedIn during the internship search process * Have you secured an
internship before graduation? Crosstabulation
Count
Have you secured an internship
before graduation?
TotalYes No
In your opinion, how effective
is LinkedIn during the
internship search process
Ineffective 2 0 2
Neither Effective nor
Ineffective4 1 5
Effective 5 4 9
Very Effective 2 1 3
Total 13 6 19
Chi-Square Tests
Value df
Asymp. Sig. (2-
sided)
Pearson Chi-Square 1.927a 3 .588
Likelihood Ratio 2.510 3 .473
Linear-by-Linear Association 1.116 1 .291
N of Valid Cases 19
Interpretation of Analysis: Again we perform a cross tabs with Chi-Squared test on these two
variables, variable 20 and 16. This will identify the correlation, assuming one exists, between a
students perceived effectiveness of LinkedIn during the internship search process and if they
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have secured an internship before graduating. We know from previous analysis that more
students perceive LinkedIn to be effective than do not. There were four responses to choose from
in variable 20, the two students who told us they perceive LinkedIn as ineffective both have
secured an internship before graduating. Of the five students who answered that LinkedIn is not
ineffective nor effective, 4 (80%) have secured an internship and 1 (20%) did not. Of the 9
students who told us they perceive LinkedIn as an effective resource in the internship search
process, 5 (55.56%) have secured an internship before graduating and 4 (44.44%) did not. Of the
three students who perceive LinkedIn as very effective, 2 (66%) have secured an internship
before graduating and 1 (33%) has not. These results tell us that there is no correlation between
the perceived effectiveness of LinkedIn during the internship search process and actually
securing an internship before graduating. As proof, we look at the Pearson Chi-Squared
significance level of (.588) which tells us that there is certainly no significant correlation
between these two variables, and as such we reject our hypothesis.
➢ 3. There is a relationship between how often a student uses LinkedIn and finding an
internship before graduation.
How many times do you use LinkedIn per month? * Have you secured an
internship before graduation? Crosstabulation
Count
Have you secured an internship
before graduation?
TotalYes No
How many times do you use
LinkedIn per month?
1-3 4 1 5
3-10 7 2 9
10+ 2 3 5
Total 13 6 19
Chi-Square Tests
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Value df
Asymp. Sig. (2-
sided)
Pearson Chi-Square 2.544a 2 .280
Likelihood Ratio 2.430 2 .297
Linear-by-Linear Association 1.754 1 .185
N of Valid Cases 19
Interpretation of Analysis: To answer the question posed by our hypothesis we have performed
a cross tabs with chi-squared test of the two variables, variable 9 and 16. Variable 9 asks how
many times per month does the student use LinkedIn, and gives three possible responses. Of the
5 students who use LinkedIn 1-3 times per month, 4 (80%) have secured an internship before
graduating and 1 (20%) did not. 7 of the 9 (77.78%) students responding 3-10 times per month
told us they have secured an internship before graduating, and 2 (22.22%) said they did not. And
of the 5 students who told us they use LinkedIn 10 or more times per month, 2 (40%) said they
have secured an internship while 3 (60%) said they have not. As the data appears, there is no
visible correlation between these two variables. We look at the Pearson Chi-Squared test
significance level to see if there is or is not a statistically significant correlation between the
amount a student uses LinkedIn per month and if they have secured an internship before
graduating. The significance level is (.280) which is obviously not (.050) or lower, so we
determine that there is no significant correlation. We reject Hypothesis 3 and can say that there is
no statistically significant correlation between these two variables.
Research Project Limitations:
Our first limitation was the survey design due to our lack of experience. We had
excessive nominal questions and we could have perhaps collected more specific data through
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question variance. It seemed as though our questions were a little redundant. Time constraints
was probably our biggest restraint. We sent out our survey and had it live for about one week
which really did not give students a lot of time to take it especially since it was during finals
week for most students. Time constraints tie into our final restraint which was a small sample
size. Due to the lack of time allotted for students to take the survey, the sample was small. We
only had 52 respondents and of that only 19 got past question 2. If we were to conduct research
like this again we would have the survey active for at least a month to accumulate more
responses for a more accurate conclusion.
Conclusions & Recommendations:
After reviewing the results we find that there is no significant correlation between any of
the variables. The relationship that reflects the strongest significance is in the amount that a
student uses LinkedIn per month and his or her ability to secure and internship before graduation
(.280). Students’ perception of LinkedIn’s effectiveness in receiving and internship had the
weakest significance among the variables tested (.588). In conclusion, we accept all null
hypotheses, and look to our secondary research to reinforce our results. The secondary research
shows that there is a much stronger correlation between LinkedIn and job placement rather than
getting an internship. Our recommendations to students seeking an internship is not to rule out
using LinkedIn as it is an effective tool, but to focus their efforts on other resources. When
asking students what they find to be most useful in variable 12 question 11, they said university
resources like FoxNet (6 respondents) and CSPD to be more useful in aiding the internship
process. Students also included things like the Internet, personal connections, and networking.
Ideally we would have had more respondents take the survey to solidify our results; however,
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because our research aligns closely with our secondary sources we feel as if our research is
accurate.
What We Learned:
Our team progressed well through our project, making impromptu decisions and honing
our research objectives. We learned that for our research project we were much better off with
less opinion based questions. After factually basing a majority of our survey we were able to
work with more accurate significance levels. We changed our chi square analysis to reflect
mode instead of mean. Looking back we would not use an opinion based skip-logic question.
By using this opinion based question (variable 2 question 2), we turned away 22 of our
remaining 41 respondents. Although we were satisfied with our results, more time could have
been spent on making the survey in the beginning of the semester. Just like most of the groups in
our Market Research class, any of us could have benefitted from more respondents. Overall we
responded to problems with accuracy and in an expedited nature, so our learning curve provided
insightful and beneficial outcomes.
APPENDICES:
Data Collection Form:
LinkedIn Survey distributed via Qualtrics
21
Q1 Do you have a LinkedIn account? Yes (1) No (2)If No Is Selected, Then Skip to End of Survey
Q2 Do you actively use LinkedIn? Yes (1) No (2)If No Is Selected, Then Skip To End of Survey
Q3 Approximately how many followers do you have on LinkedIn? 0-50 (1) 50-100 (2) 100+ (3)
Q4 In the past month, how many connections have you made on LinkedIn? 0 (1) 0-10 (2) 10+ (3)
Q5 Do you consider your LinkedIn connections to be valid, real world connections? Yes (1) No (2)
Q19 What do you use LinkedIn for most?
Q6 Has anyone ever offered you an internship via LinkedIn? Yes (1) No (2)
Q7 Have you ever searched LinkedIn for internships? Yes (1) No (2)
Q8 How many times do you use LinkedIn per month? 1-3 (1) 3-10 (2) 10+ (3)
Q9 What percentage of your collegiate friends use LinkedIn? 0% (1) 1-10% (2) 10-25% (3) 25-50% (4) 50%+ (5)
Q10 Do you believe LinkedIn helps young professionals find internships? Yes (1) No (2)
Q11 Where do you consider the best place to find an internship?
22
Q12 Was your account created entirely voluntarily? Yes (1) No (2)
Q13 Is your profile complete and up to date? Yes (1) No (2)
Q14 Have you completed an internship? Yes (1) No (2)
Q15 Have you secured an internship before graduation? Yes (1) No (2)
Q16 Do you intend to complete and internship before graduation? Yes (1) No (2)
Q17 Have you ever applied for an internship? Yes (1) No (2)
Q18 In which order do you value these tools for finding an internship?______ Fox's CSPD department (1)______ LinkedIn (2)______ The Internet (3)______ Personal Connections (4)
Q20 In your opinion, how effective is LinkedIn during the internship search process Very Ineffective (1) Ineffective (2) Neither Effective nor Ineffective (3) Effective (4) Very Effective (5)
Completed Questionnaires – results by question
23
1. Do you have a LinkedIn account?# Answer Response %1 Yes 44 85%2 No 8 15%
Total 52 100%
Statistic ValueMin Value 1Max Value 2Mean 1.15Variance 0.13Standard Deviation 0.36Total Responses 52
2. Do you actively use LinkedIn?# Answer Response %1 Yes 19 46%2 No 22 54%
Total 41 100%
Statistic ValueMin Value 1Max Value 2Mean 1.54Variance 0.25Standard Deviation 0.50Total Responses 41
3. Approximately how many followers do you have on LinkedIn?# Answer Response %1 0-50 12 63%2 50-100 4 21%3 100+ 3 16%
Total 19 100%
Statistic ValueMin Value 1Max Value 3Mean 1.53Variance 0.60Standard Deviation 0.77Total Responses 19
24
4. In the past month, how many connections have you made on LinkedIn?
# Answer Response %1 0 1 5%2 0-10 15 79%3 10+ 3 16%
Total 19 100%
Statistic ValueMin Value 1Max Value 3Mean 2.11Variance 0.21Standard Deviation 0.46Total Responses 19
5. Do you consider your LinkedIn connections to be valid, real world connections?
# Answer Response %1 Yes 15 79%2 No 4 21%
Total 19 100%
Statistic ValueMin Value 1Max Value 2Mean 1.21Variance 0.18Standard Deviation 0.42Total Responses 19
25
6. What do you use LinkedIn for most?Text ResponseMaking connextionsFinding jobs outside of Philadelphiastaying connectedsearching for internship positionsinternshipsNetworkingjob searchingjobsCompany Information/Employee look upConnectionsJob searchJobsUpdating my online "resume" and also finding out about employers and finding out what kinds of articles they are sharing or releasing.Learn about companies and research professionals.To network and meet more businss professionalsTo obtain up-to-date industry news.Making as many conncections as possibleNetworking
Statistic ValueTotal Responses 18
7. Has anyone ever offered you a internship via LinkedIn?# Answer Response %1 Yes 7 37%2 No 12 63%
Total 19 100%
Statistic ValueMin Value 1Max Value 2Mean 1.63Variance 0.25Standard Deviation 0.50Total Responses 19
8. Have you ever searched LinkedIn for internships?# Answer Response %1 Yes 15 79%2 No 4 21%
Total 19 100%
26
Statistic ValueMin Value 1Max Value 2Mean 1.21Variance 0.18Standard Deviation 0.42Total Responses 19
9. How many times do you use LinkedIn per month?# Answer Response %1 1-3 5 26%2 3-10 9 47%3 10+ 5 26%
Total 19 100%
Statistic ValueMin Value 1Max Value 3Mean 2.00Variance 0.56Standard Deviation 0.75Total Responses 19
10. What percentage of your collegiate friends use LinkedIn?# Answer Response %1 0% 0 0%2 1-10% 3 16%3 10-25% 4 21%4 25-50% 6 32%5 50%+ 6 32%
Total 19 100%
Statistic ValueMin Value 2Max Value 5Mean 3.79Variance 1.18Standard Deviation 1.08Total Responses 19
27
11. Do you believe LinkedIn helps young professionals find internships?
# Answer Response %1 Yes 17 89%2 No 2 11%
Total 19 100%
Statistic ValueMin Value 1Max Value 2Mean 1.11Variance 0.10Standard Deviation 0.32Total Responses 19
12. Where do you consider the best place to find an internship?Text ResponseFox net or LinkedInFamily connectionsCSPD at templeLinkedInFoxnetfoxnetCraig's ListFoxNet, personal connectionsThe internetNot the best, but one of the best places. As a Fox a Student, I used Fox Net.Temples experience netThrough networking person to person.networking eventsLinkedIn group discussion boards.Each company's official website.Online through programs like foxnet and linked in. Also word of mouth from these connections you make on LinkedinThrough previous connections
Statistic ValueTotal Responses 17
28
13. Was your account created entirely voluntarily?# Answer Response %1 Yes 11 58%2 No 8 42%
Total 19 100%
Statistic ValueMin Value 1Max Value 2Mean 1.42Variance 0.26Standard Deviation 0.51Total Responses 19
14. Is your profile complete and up to date?# Answer Response %1 Yes 15 79%2 No 4 21%
Total 19 100%
Statistic ValueMin Value 1Max Value 2Mean 1.21Variance 0.18Standard Deviation 0.42Total Responses 19
15. Have you completed an internship?# Answer Response %1 Yes 11 58%2 No 8 42%
Total 19 100%
Statistic ValueMin Value 1Max Value 2Mean 1.42Variance 0.26Standard Deviation 0.51Total Responses 19
29
16. Have you secured an internship before graduation?# Answer Response %1 Yes 13 68%2 No 6 32%
Total 19 100%
Statistic ValueMin Value 1Max Value 2Mean 1.32Variance 0.23Standard Deviation 0.48Total Responses 19
17. Do you intend to complete and internship before graduation?
# Answer Response %1 Yes 19 100%2 No 0 0%
Total 19 100%
Statistic ValueMin Value 1Max Value 1Mean 1.00Variance 0.00Standard Deviation 0.00Total Responses 19
18. Have you ever applied for an internship?# Answer Response %1 Yes 16 84%2 No 3 16%
Total 19 100%
Statistic ValueMin Value 1Max Value 2Mean 1.16Variance 0.14Standard Deviation 0.37Total Responses 19
30
19. In which order do you value these tools for finding an internship?
# Answer 1 2 3 4 Total Responses
1 Fox's CSPD department 7 5 3 3 18
2 LinkedIn 2 5 9 2 183 The Internet 3 3 3 9 18
4 Personal Connections 6 5 3 4 18
Total 18 18 18 18 -
Statistic Fox's CSPD department LinkedIn The Internet Personal
ConnectionsMin Value 1 1 1 1Max Value 4 4 4 4Mean 2.11 2.61 3.00 2.28Variance 1.28 0.72 1.41 1.39Standard Deviation 1.13 0.85 1.19 1.18
Total Responses 18 18 18 18
20. In your opinion, how effective is LinkedIn during the internship search process
# Answer Response %1 Very Ineffective 0 0%2 Ineffective 2 11%
3Neither Effective nor Ineffective
5 26%
4 Effective 9 47%5 Very Effective 3 16%
Total 19 100%
Statistic ValueMin Value 2Max Value 5Mean 3.68Variance 0.78Standard Deviation 0.89Total Responses 19
SPSS Outputs:
31
FREQUENCIES VARIABLES=Q1 /STATISTICS=STDDEV MEAN MEDIAN MODE /ORDER=ANALYSIS.
Notes
Output Created 06-MAY-2014 12:13:40
Comments
Input Data C:\Users\Nathan\LinkedIn_Survey.sav
Active Dataset DataSet1
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data
File52
Missing Value Handling Definition of Missing User-defined missing values are treated
as missing.
Cases Used Statistics are based on all cases with
valid data.
Syntax FREQUENCIES VARIABLES=Q1
/STATISTICS=STDDEV MEAN
MEDIAN MODE
/ORDER=ANALYSIS.
Resources Processor Time 00:00:00.02
Elapsed Time 00:00:00.06
Frequencies
Notes
Output Created 06-MAY-2014 12:14:38
Comments
Input Data C:\Users\Nathan\LinkedIn_Survey.sav
32
Active Dataset DataSet1
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data
File52
Missing Value Handling Definition of Missing User-defined missing values are treated
as missing.
Cases Used Statistics are based on all cases with
valid data.
Syntax FREQUENCIES VARIABLES=Q1
/STATISTICS=STDDEV MEAN
MEDIAN MODE
/PIECHART PERCENT
/ORDER=ANALYSIS.
Resources Processor Time 00:00:02.09
Elapsed Time 00:00:01.29
Statistics
Do you have a LinkedIn account?
N Valid 52
Missing 0
Mean 1.15
Median 1.00
Mode 1
Std. Deviation .364
Do you have a LinkedIn account?
Frequency Percent Valid Percent
Cumulative
Percent
Valid Yes 44 84.6 84.6 84.6
No 8 15.4 15.4 100.0
Total 52 100.0 100.0
33
FREQUENCIES VARIABLES=Q2 /STATISTICS=STDDEV MEAN MEDIAN MODE /GROUPED=Q2 /PIECHART PERCENT /ORDER=ANALYSIS.
Frequencies
Notes
34
Output Created 06-MAY-2014 12:16:18
Comments
Input Data C:\Users\Nathan\LinkedIn_Survey.sav
Active Dataset DataSet1
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data
File52
Missing Value Handling Definition of Missing User-defined missing values are treated
as missing.
Cases Used Statistics are based on all cases with
valid data.
Syntax FREQUENCIES VARIABLES=Q2
/STATISTICS=STDDEV MEAN
MEDIAN MODE
/GROUPED=Q2
/PIECHART PERCENT
/ORDER=ANALYSIS.
Resources Processor Time 00:00:00.17
Elapsed Time 00:00:00.14
Statistics
Do you actively use LinkedIn?
N Valid 41
Missing 11
Mean 1.54
Median 1.54a
Mode 2
Std. Deviation .505
a. Calculated from grouped data.
Do you actively use LinkedIn?
Frequency Percent Valid Percent
Cumulative
Percent
35
Valid Yes 19 36.5 46.3 46.3
No 22 42.3 53.7 100.0
Total 41 78.8 100.0
Missing System 11 21.2
Total 52 100.0
FREQUENCIES VARIABLES=Q3 /STATISTICS=STDDEV MEAN MEDIAN MODE /GROUPED=Q3 /PIECHART PERCENT /ORDER=ANALYSIS.
36
Frequencies
Notes
Output Created 06-MAY-2014 12:17:03
Comments
Input Data C:\Users\Nathan\LinkedIn_Survey.sav
Active Dataset DataSet1
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data
File52
Missing Value Handling Definition of Missing User-defined missing values are treated
as missing.
Cases Used Statistics are based on all cases with
valid data.
Syntax FREQUENCIES VARIABLES=Q3
/STATISTICS=STDDEV MEAN
MEDIAN MODE
/GROUPED=Q3
/PIECHART PERCENT
/ORDER=ANALYSIS.
Resources Processor Time 00:00:00.17
Elapsed Time 00:00:00.19
Statistics
Approximately how many followers
do you have on LinkedIn?
N Valid 19
Missing 33
Mean 1.53
Median 1.44a
Mode 1
Std. Deviation .772
37
a. Calculated from grouped data.
Approximately how many followers do you have on LinkedIn?
Frequency Percent Valid Percent
Cumulative
Percent
Valid 0-50 12 23.1 63.2 63.2
50-100 4 7.7 21.1 84.2
100+ 3 5.8 15.8 100.0
Total 19 36.5 100.0
Missing System 33 63.5
Total 52 100.0
38
FREQUENCIES VARIABLES=Q4 /STATISTICS=STDDEV MEAN MEDIAN MODE /GROUPED=Q4 /PIECHART PERCENT /ORDER=ANALYSIS.
Frequencies
Notes
Output Created 06-MAY-2014 12:17:40
Comments
Input Data C:\Users\Nathan\LinkedIn_Survey.sav
Active Dataset DataSet1
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data
File52
Missing Value Handling Definition of Missing User-defined missing values are treated
as missing.
Cases Used Statistics are based on all cases with
valid data.
Syntax FREQUENCIES VARIABLES=Q4
/STATISTICS=STDDEV MEAN
MEDIAN MODE
/GROUPED=Q4
/PIECHART PERCENT
/ORDER=ANALYSIS.
Resources Processor Time 00:00:00.16
Elapsed Time 00:00:00.14
39
Statistics
In the past month, how many
connections have you made on
LinkedIn?
N Valid 19
Missing 33
Mean 2.11
Median 2.11a
Mode 2
Std. Deviation .459
a. Calculated from grouped data.
In the past month, how many connections have you made on LinkedIn?
Frequency Percent Valid Percent
Cumulative
Percent
Valid 0 1 1.9 5.3 5.3
0-10 15 28.8 78.9 84.2
10+ 3 5.8 15.8 100.0
Total 19 36.5 100.0
Missing System 33 63.5
Total 52 100.0
40
FREQUENCIES VARIABLES=Q5 /STATISTICS=STDDEV MEAN MEDIAN MODE /GROUPED=Q5 /PIECHART PERCENT /ORDER=ANALYSIS.
Frequencies
Notes
41
Output Created 06-MAY-2014 12:18:17
Comments
Input Data C:\Users\Nathan\LinkedIn_Survey.sav
Active Dataset DataSet1
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data
File52
Missing Value Handling Definition of Missing User-defined missing values are treated
as missing.
Cases Used Statistics are based on all cases with
valid data.
Syntax FREQUENCIES VARIABLES=Q5
/STATISTICS=STDDEV MEAN
MEDIAN MODE
/GROUPED=Q5
/PIECHART PERCENT
/ORDER=ANALYSIS.
Resources Processor Time 00:00:00.14
Elapsed Time 00:00:00.14
Statistics
Do you consider your LinkedIn
connections to be valid, real world
connections?
N Valid 19
Missing 33
Mean 1.21
Median 1.21a
Mode 1
Std. Deviation .419
a. Calculated from grouped data.
Do you consider your LinkedIn connections to be valid, real world connections?
42
Frequency Percent Valid Percent
Cumulative
Percent
Valid Yes 15 28.8 78.9 78.9
No 4 7.7 21.1 100.0
Total 19 36.5 100.0
Missing System 33 63.5
Total 52 100.0
FREQUENCIES VARIABLES=Q19 /STATISTICS=STDDEV MEAN MEDIAN MODE /GROUPED=Q19 /ORDER=ANALYSIS.
43
Frequencies
Notes
Output Created 06-MAY-2014 12:18:34
Comments
Input Data C:\Users\Nathan\LinkedIn_Survey.sav
Active Dataset DataSet1
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data
File52
Missing Value Handling Definition of Missing User-defined missing values are treated
as missing.
Cases Used Statistics are based on all cases with
valid data.
Syntax FREQUENCIES VARIABLES=Q19
/STATISTICS=STDDEV MEAN
MEDIAN MODE
/GROUPED=Q19
/ORDER=ANALYSIS.
Resources Processor Time 00:00:00.00
Elapsed Time 00:00:00.00
Warnings
Text: Q19 Command: FREQUENCIES
This procedure cannot use string variables longer than 8 bytes. The values will be
truncated.
Statistics
44
What do you use LinkedIn for
most?
N Valid 52
Missing 0
What do you use LinkedIn for most?
Frequency Percent Valid Percent
Cumulative
Percent
Valid 34 65.4 65.4 65.4
Company
Information/Employee look
up
1 1.9 1.9 67.3
Connections 1 1.9 1.9 69.2
Finding jobs outside of
Philadelphia1 1.9 1.9 71.2
internships 1 1.9 1.9 73.1
Job search 1 1.9 1.9 75.0
job searching 1 1.9 1.9 76.9
jobs 1 1.9 1.9 78.8
Jobs 1 1.9 1.9 80.8
Learn about companies and
research professionals.1 1.9 1.9 82.7
Making as many
conncections as possible1 1.9 1.9 84.6
Making connextions 1 1.9 1.9 86.5
Networking 2 3.8 3.8 90.4
searching for internship
positions1 1.9 1.9 92.3
staying connected 1 1.9 1.9 94.2
To network and meet more
businss professionals1 1.9 1.9 96.2
To obtain up-to-date industry
news.
1 1.9 1.9 98.1
45
Updating my online "resume"
and also finding out about
employers and finding out
what kinds of articles they
are sharing or releasing.
1 1.9 1.9 100.0
Total 52 100.0 100.0
FREQUENCIES VARIABLES=Q6 /STATISTICS=STDDEV MEAN MEDIAN MODE /GROUPED=Q6 /ORDER=ANALYSIS.
Frequencies
Notes
Output Created 06-MAY-2014 12:19:12
Comments
Input Data C:\Users\Nathan\LinkedIn_Survey.sav
Active Dataset DataSet1
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data
File52
Missing Value Handling Definition of Missing User-defined missing values are treated
as missing.
Cases Used Statistics are based on all cases with
valid data.
Syntax FREQUENCIES VARIABLES=Q6
/STATISTICS=STDDEV MEAN
MEDIAN MODE
/GROUPED=Q6
/ORDER=ANALYSIS.
46
Resources Processor Time 00:00:00.00
Elapsed Time 00:00:00.00
Statistics
Has anyone ever offered you a
internship via LinkedIn?
N Valid 19
Missing 33
Mean 1.63
Median 1.63a
Mode 2
Std. Deviation .496
a. Calculated from grouped data.
Has anyone ever offered you a internship via LinkedIn?
Frequency Percent Valid Percent
Cumulative
Percent
Valid Yes 7 13.5 36.8 36.8
No 12 23.1 63.2 100.0
Total 19 36.5 100.0
Missing System 33 63.5
Total 52 100.0
FREQUENCIES VARIABLES=Q7 /STATISTICS=STDDEV MEAN MEDIAN MODE /GROUPED=Q7 /ORDER=ANALYSIS.
Frequencies
47
Notes
Output Created 06-MAY-2014 12:20:10
Comments
Input Data C:\Users\Nathan\LinkedIn_Survey.sav
Active Dataset DataSet1
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data
File52
Missing Value Handling Definition of Missing User-defined missing values are treated
as missing.
Cases Used Statistics are based on all cases with
valid data.
Syntax FREQUENCIES VARIABLES=Q7
/STATISTICS=STDDEV MEAN
MEDIAN MODE
/GROUPED=Q7
/ORDER=ANALYSIS.
Resources Processor Time 00:00:00.02
Elapsed Time 00:00:00.02
Statistics
Have you ever searched LinkedIn
for internships?
N Valid 19
Missing 33
Mean 1.21
Median 1.21a
Mode 1
Std. Deviation .419
a. Calculated from grouped data.
Have you ever searched LinkedIn for internships?
48
Frequency Percent Valid Percent
Cumulative
Percent
Valid Yes 15 28.8 78.9 78.9
No 4 7.7 21.1 100.0
Total 19 36.5 100.0
Missing System 33 63.5
Total 52 100.0
FREQUENCIES VARIABLES=Q8 /STATISTICS=STDDEV MEAN MEDIAN MODE /GROUPED=Q8 /ORDER=ANALYSIS.
Frequencies
Notes
Output Created 06-MAY-2014 12:20:20
Comments
Input Data C:\Users\Nathan\LinkedIn_Survey.sav
Active Dataset DataSet1
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data
File52
Missing Value Handling Definition of Missing User-defined missing values are treated
as missing.
Cases Used Statistics are based on all cases with
valid data.
49
Syntax FREQUENCIES VARIABLES=Q8
/STATISTICS=STDDEV MEAN
MEDIAN MODE
/GROUPED=Q8
/ORDER=ANALYSIS.
Resources Processor Time 00:00:00.00
Elapsed Time 00:00:00.00
Statistics
How many times do you use
LinkedIn per month?
N Valid 19
Missing 33
Mean 2.00
Median 2.00a
Mode 2
Std. Deviation .745
a. Calculated from grouped data.
How many times do you use LinkedIn per month?
Frequency Percent Valid Percent
Cumulative
Percent
Valid 1-3 5 9.6 26.3 26.3
3-10 9 17.3 47.4 73.7
10+ 5 9.6 26.3 100.0
Total 19 36.5 100.0
Missing System 33 63.5
Total 52 100.0
FREQUENCIES VARIABLES=Q9 /STATISTICS=STDDEV MEAN MEDIAN MODE /GROUPED=Q9 /ORDER=ANALYSIS.
50
Frequencies
Notes
Output Created 06-MAY-2014 12:20:29
Comments
Input Data C:\Users\Nathan\LinkedIn_Survey.sav
Active Dataset DataSet1
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data
File52
Missing Value Handling Definition of Missing User-defined missing values are treated
as missing.
Cases Used Statistics are based on all cases with
valid data.
Syntax FREQUENCIES VARIABLES=Q9
/STATISTICS=STDDEV MEAN
MEDIAN MODE
/GROUPED=Q9
/ORDER=ANALYSIS.
Resources Processor Time 00:00:00.00
Elapsed Time 00:00:00.00
Statistics
What percentage of your collegiate
friends use LinkedIn?
N Valid 19
Missing 33
Mean 3.79
Median 3.90a
Mode 4b
Std. Deviation 1.084
51
a. Calculated from grouped data.
b. Multiple modes exist. The
smallest value is shown
What percentage of your collegiate friends use LinkedIn?
Frequency Percent Valid Percent
Cumulative
Percent
Valid 1-10% 3 5.8 15.8 15.8
10-25% 4 7.7 21.1 36.8
25-50% 6 11.5 31.6 68.4
50%+ 6 11.5 31.6 100.0
Total 19 36.5 100.0
Missing System 33 63.5
Total 52 100.0
FREQUENCIES VARIABLES=Q10 /STATISTICS=STDDEV MEAN MEDIAN MODE /GROUPED=Q10 /ORDER=ANALYSIS.
Frequencies
Notes
Output Created 06-MAY-2014 12:20:37
Comments
Input Data C:\Users\Nathan\LinkedIn_Survey.sav
Active Dataset DataSet1
Filter <none>
Weight <none>
Split File <none>
52
N of Rows in Working Data
File52
Missing Value Handling Definition of Missing User-defined missing values are treated
as missing.
Cases Used Statistics are based on all cases with
valid data.
Syntax FREQUENCIES VARIABLES=Q10
/STATISTICS=STDDEV MEAN
MEDIAN MODE
/GROUPED=Q10
/ORDER=ANALYSIS.
Resources Processor Time 00:00:00.02
Elapsed Time 00:00:00.02
Statistics
Do you believe LinkedIn helps
young professionals find
internships?
N Valid 19
Missing 33
Mean 1.11
Median 1.11a
Mode 1
Std. Deviation .315
a. Calculated from grouped data.
Do you believe LinkedIn helps young professionals find internships?
Frequency Percent Valid Percent
Cumulative
Percent
Valid Yes 17 32.7 89.5 89.5
No 2 3.8 10.5 100.0
Total 19 36.5 100.0
Missing System 33 63.5
Total 52 100.0
53
FREQUENCIES VARIABLES=Q11 /STATISTICS=STDDEV MEAN MEDIAN MODE /GROUPED=Q11 /ORDER=ANALYSIS.
Frequencies
Notes
Output Created 06-MAY-2014 12:20:52
Comments
Input Data C:\Users\Nathan\LinkedIn_Survey.sav
Active Dataset DataSet1
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data
File52
Missing Value Handling Definition of Missing User-defined missing values are treated
as missing.
Cases Used Statistics are based on all cases with
valid data.
Syntax FREQUENCIES VARIABLES=Q11
/STATISTICS=STDDEV MEAN
MEDIAN MODE
/GROUPED=Q11
/ORDER=ANALYSIS.
Resources Processor Time 00:00:00.00
Elapsed Time 00:00:00.00
Warnings
54
Text: Q11 Command: FREQUENCIES
This procedure cannot use string variables longer than 8 bytes. The values will be
truncated.
Statistics
Where do you consider the best
place to find an internship?
N Valid 52
Missing 0
Where do you consider the best place to find an internship?
Frequency Percent Valid Percent
Cumulative
Percent
Valid 35 67.3 67.3 67.3
Craig's List 1 1.9 1.9 69.2
CSPD at temple 1 1.9 1.9 71.2
Each company's official
website.1 1.9 1.9 73.1
Family connections 1 1.9 1.9 75.0
Fox net or LinkedIn 1 1.9 1.9 76.9
foxnet 1 1.9 1.9 78.8
Foxnet 1 1.9 1.9 80.8
FoxNet, personal
connections1 1.9 1.9 82.7
LinkedIn 1 1.9 1.9 84.6
LinkedIn group discussion
boards.1 1.9 1.9 86.5
networking events 1 1.9 1.9 88.5
Not the best, but one of the
best places. As a Fox a
Student, I used Fox Net.
1 1.9 1.9 90.4
55
Online through programs like
foxnet and linked in. Also
word of mouth from these
connections you make on
1 1.9 1.9 92.3
Temples experience net 1 1.9 1.9 94.2
The internet 1 1.9 1.9 96.2
Through networking person
to person.1 1.9 1.9 98.1
Through previous
connections1 1.9 1.9 100.0
Total 52 100.0 100.0
FREQUENCIES VARIABLES=Q12 /STATISTICS=STDDEV MEAN MEDIAN MODE /GROUPED=Q12 /ORDER=ANALYSIS.
Frequencies
Notes
Output Created 06-MAY-2014 12:21:08
Comments
Input Data C:\Users\Nathan\LinkedIn_Survey.sav
Active Dataset DataSet1
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data
File52
Missing Value Handling Definition of Missing User-defined missing values are treated
as missing.
56
Cases Used Statistics are based on all cases with
valid data.
Syntax FREQUENCIES VARIABLES=Q12
/STATISTICS=STDDEV MEAN
MEDIAN MODE
/GROUPED=Q12
/ORDER=ANALYSIS.
Resources Processor Time 00:00:00.02
Elapsed Time 00:00:00.02
Statistics
Was your account created entirely
voluntarily?
N Valid 19
Missing 33
Mean 1.42
Median 1.42a
Mode 1
Std. Deviation .507
a. Calculated from grouped data.
Was your account created entirely voluntarily?
Frequency Percent Valid Percent
Cumulative
Percent
Valid Yes 11 21.2 57.9 57.9
No 8 15.4 42.1 100.0
Total 19 36.5 100.0
Missing System 33 63.5
Total 52 100.0
FREQUENCIES VARIABLES=Q13 /STATISTICS=STDDEV MEAN MEDIAN MODE /GROUPED=Q13 /ORDER=ANALYSIS.
57
Frequencies
Notes
Output Created 06-MAY-2014 12:21:18
Comments
Input Data C:\Users\Nathan\LinkedIn_Survey.sav
Active Dataset DataSet1
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data
File52
Missing Value Handling Definition of Missing User-defined missing values are treated
as missing.
Cases Used Statistics are based on all cases with
valid data.
Syntax FREQUENCIES VARIABLES=Q13
/STATISTICS=STDDEV MEAN
MEDIAN MODE
/GROUPED=Q13
/ORDER=ANALYSIS.
Resources Processor Time 00:00:00.00
Elapsed Time 00:00:00.00
Statistics
Is your profile complete and up to
date?
N Valid 19
Missing 33
Mean 1.21
Median 1.21a
Mode 1
58
Std. Deviation .419
a. Calculated from grouped data.
Is your profile complete and up to date?
Frequency Percent Valid Percent
Cumulative
Percent
Valid Yes 15 28.8 78.9 78.9
No 4 7.7 21.1 100.0
Total 19 36.5 100.0
Missing System 33 63.5
Total 52 100.0
FREQUENCIES VARIABLES=Q14 /STATISTICS=STDDEV MEAN MEDIAN MODE /GROUPED=Q14 /ORDER=ANALYSIS.
Frequencies
Notes
Output Created 06-MAY-2014 12:21:28
Comments
Input Data C:\Users\Nathan\LinkedIn_Survey.sav
Active Dataset DataSet1
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data
File52
Missing Value Handling Definition of Missing User-defined missing values are treated
as missing.
59
Cases Used Statistics are based on all cases with
valid data.
Syntax FREQUENCIES VARIABLES=Q14
/STATISTICS=STDDEV MEAN
MEDIAN MODE
/GROUPED=Q14
/ORDER=ANALYSIS.
Resources Processor Time 00:00:00.00
Elapsed Time 00:00:00.00
Statistics
Have you completed an
internship?
N Valid 19
Missing 33
Mean 1.42
Median 1.42a
Mode 1
Std. Deviation .507
a. Calculated from grouped data.
Have you completed an internship?
Frequency Percent Valid Percent
Cumulative
Percent
Valid Yes 11 21.2 57.9 57.9
No 8 15.4 42.1 100.0
Total 19 36.5 100.0
Missing System 33 63.5
Total 52 100.0
FREQUENCIES VARIABLES=Q15 /STATISTICS=STDDEV MEAN MEDIAN MODE /GROUPED=Q15 /ORDER=ANALYSIS.
60
Frequencies
Notes
Output Created 06-MAY-2014 12:21:39
Comments
Input Data C:\Users\Nathan\LinkedIn_Survey.sav
Active Dataset DataSet1
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data
File52
Missing Value Handling Definition of Missing User-defined missing values are treated
as missing.
Cases Used Statistics are based on all cases with
valid data.
Syntax FREQUENCIES VARIABLES=Q15
/STATISTICS=STDDEV MEAN
MEDIAN MODE
/GROUPED=Q15
/ORDER=ANALYSIS.
Resources Processor Time 00:00:00.02
Elapsed Time 00:00:00.01
Statistics
Have you secured an internship
before graduation?
N Valid 19
Missing 33
Mean 1.32
Median 1.32a
Mode 1
61
Std. Deviation .478
a. Calculated from grouped data.
Have you secured an internship before graduation?
Frequency Percent Valid Percent
Cumulative
Percent
Valid Yes 13 25.0 68.4 68.4
No 6 11.5 31.6 100.0
Total 19 36.5 100.0
Missing System 33 63.5
Total 52 100.0
FREQUENCIES VARIABLES=Q16 /STATISTICS=STDDEV MEAN MEDIAN MODE /GROUPED=Q16 /ORDER=ANALYSIS.
Frequencies
Notes
Output Created 06-MAY-2014 12:21:49
Comments
Input Data C:\Users\Nathan\LinkedIn_Survey.sav
Active Dataset DataSet1
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data
File52
Missing Value Handling Definition of Missing User-defined missing values are treated
as missing.
62
Cases Used Statistics are based on all cases with
valid data.
Syntax FREQUENCIES VARIABLES=Q16
/STATISTICS=STDDEV MEAN
MEDIAN MODE
/GROUPED=Q16
/ORDER=ANALYSIS.
Resources Processor Time 00:00:00.02
Elapsed Time 00:00:00.03
Statistics
Do you intend to complete and
internship before graduation?
N Valid 19
Missing 33
Mean 1.00
Median .a
Mode 1
Std. Deviation .000
a. Calculated from grouped data.
Do you intend to complete and internship before graduation?
Frequency Percent Valid Percent
Cumulative
Percent
Valid Yes 19 36.5 100.0 100.0
Missing System 33 63.5
Total 52 100.0
FREQUENCIES VARIABLES=Q17 /STATISTICS=STDDEV MEAN MEDIAN MODE /GROUPED=Q17 /ORDER=ANALYSIS.
63
Frequencies
Notes
Output Created 06-MAY-2014 12:22:00
Comments
Input Data C:\Users\Nathan\LinkedIn_Survey.sav
Active Dataset DataSet1
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data
File52
Missing Value Handling Definition of Missing User-defined missing values are treated
as missing.
Cases Used Statistics are based on all cases with
valid data.
Syntax FREQUENCIES VARIABLES=Q17
/STATISTICS=STDDEV MEAN
MEDIAN MODE
/GROUPED=Q17
/ORDER=ANALYSIS.
Resources Processor Time 00:00:00.02
Elapsed Time 00:00:00.03
Statistics
Have you ever applied for an
internship?
N Valid 19
Missing 33
Mean 1.16
Median 1.16a
Mode 1
Std. Deviation .375
64
a. Calculated from grouped data.
Have you ever applied for an internship?
Frequency Percent Valid Percent
Cumulative
Percent
Valid Yes 16 30.8 84.2 84.2
No 3 5.8 15.8 100.0
Total 19 36.5 100.0
Missing System 33 63.5
Total 52 100.0
FREQUENCIES VARIABLES=Q18_1 Q18_2 Q18_3 Q18_4 /STATISTICS=STDDEV MEAN MEDIAN MODE /GROUPED=Q18_1 Q18_2 Q18_3 Q18_4 /ORDER=ANALYSIS.
Frequencies
Notes
Output Created 06-MAY-2014 12:22:23
Comments
Input Data C:\Users\Nathan\LinkedIn_Survey.sav
Active Dataset DataSet1
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data
File52
Missing Value Handling Definition of Missing User-defined missing values are treated
as missing.
Cases Used Statistics are based on all cases with
valid data.
65
Syntax FREQUENCIES VARIABLES=Q18_1
Q18_2 Q18_3 Q18_4
/STATISTICS=STDDEV MEAN
MEDIAN MODE
/GROUPED=Q18_1 Q18_2 Q18_3
Q18_4
/ORDER=ANALYSIS.
Resources Processor Time 00:00:00.03
Elapsed Time 00:00:00.03
Statistics
In which order
do you value
these tools for
finding an
internship?-Fox's
CSPD
department
In which order
do you value
these tools for
finding an
internship?-
In which order
do you value
these tools for
finding an
internship?-The
Internet
In which order
do you value
these tools for
finding an
internship?-
Personal
Connections
N Valid 18 18 18 18
Missing 34 34 34 34
Mean 2.1111 2.6111 3.0000 2.2778
Median 1.9167a 2.6429a 3.2500a 2.1250a
Mode 1.00 3.00 4.00 1.00
Std. Deviation 1.13183 .84984 1.18818 1.17851
a. Calculated from grouped data.
Frequency Table
In which order do you value these tools for finding an internship?-Fox's CSPD
department
Frequency Percent Valid Percent
Cumulative
Percent
66
Valid 1.00 7 13.5 38.9 38.9
2.00 5 9.6 27.8 66.7
3.00 3 5.8 16.7 83.3
4.00 3 5.8 16.7 100.0
Total 18 34.6 100.0
Missing System 34 65.4
Total 52 100.0
In which order do you value these tools for finding an internship?-LinkedIn
Frequency Percent Valid Percent
Cumulative
Percent
Valid 1.00 2 3.8 11.1 11.1
2.00 5 9.6 27.8 38.9
3.00 9 17.3 50.0 88.9
4.00 2 3.8 11.1 100.0
Total 18 34.6 100.0
Missing System 34 65.4
Total 52 100.0
In which order do you value these tools for finding an internship?-The Internet
Frequency Percent Valid Percent
Cumulative
Percent
Valid 1.00 3 5.8 16.7 16.7
2.00 3 5.8 16.7 33.3
3.00 3 5.8 16.7 50.0
4.00 9 17.3 50.0 100.0
Total 18 34.6 100.0
Missing System 34 65.4
Total 52 100.0
In which order do you value these tools for finding an internship?-Personal
Connections
67
Frequency Percent Valid Percent
Cumulative
Percent
Valid 1.00 6 11.5 33.3 33.3
2.00 5 9.6 27.8 61.1
3.00 3 5.8 16.7 77.8
4.00 4 7.7 22.2 100.0
Total 18 34.6 100.0
Missing System 34 65.4
Total 52 100.0
FREQUENCIES VARIABLES=Q20 /STATISTICS=STDDEV MEAN MEDIAN MODE /GROUPED=Q20 /ORDER=ANALYSIS.
Frequencies
Notes
Output Created 06-MAY-2014 12:23:12
Comments
Input Data C:\Users\Nathan\LinkedIn_Survey.sav
Active Dataset DataSet1
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data
File52
Missing Value Handling Definition of Missing User-defined missing values are treated
as missing.
Cases Used Statistics are based on all cases with
valid data.
68
Syntax FREQUENCIES VARIABLES=Q20
/STATISTICS=STDDEV MEAN
MEDIAN MODE
/GROUPED=Q20
/ORDER=ANALYSIS.
Resources Processor Time 00:00:00.00
Elapsed Time 00:00:00.00
Statistics
In your opinion, how effective is
LinkedIn during the internship
search process
N Valid 19
Missing 33
Mean 3.68
Median 3.71a
Mode 4
Std. Deviation .885
a. Calculated from grouped data.
In your opinion, how effective is LinkedIn during the internship search process
Frequency Percent Valid Percent
Cumulative
Percent
Valid Ineffective 2 3.8 10.5 10.5
Neither Effective nor
Ineffective5 9.6 26.3 36.8
Effective 9 17.3 47.4 84.2
Very Effective 3 5.8 15.8 100.0
Total 19 36.5 100.0
Missing System 33 63.5
Total 52 100.0
69
Notes
Output Created 06-MAY-2014 12:28:19
Comments
Input Data C:\Users\Nathan\LinkedIn_Survey.sav
Active Dataset DataSet1
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data
File52
Missing Value Handling Definition of Missing User-defined missing values are treated
as missing.
Cases Used Statistics for each table are based on all
the cases with valid data in the specified
range(s) for all variables in each table.
Syntax CROSSTABS
/TABLES=Q3 BY Q15
/FORMAT=AVALUE TABLES
/CELLS=COUNT
/COUNT ROUND CELL.
Resources Processor Time 00:00:00.02
Elapsed Time 00:00:00.01
Dimensions Requested 2
Cells Available 131029
END OF UNIVARIATE ANALYSISBEGINNING OF MULTIVARIATE ANALYSIS
CROSSTABS /TABLES=Q3 BY Q15
70
/FORMAT=AVALUE TABLES /STATISTICS=CHISQ /CELLS=COUNT /COUNT ROUND CELL.
Crosstabs
Notes
Output Created 06-MAY-2014 12:29:00
Comments
Input Data C:\Users\Nathan\LinkedIn_Survey.sav
Active Dataset DataSet1
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data
File52
Missing Value Handling Definition of Missing User-defined missing values are treated
as missing.
Cases Used Statistics for each table are based on all
the cases with valid data in the specified
range(s) for all variables in each table.
Syntax CROSSTABS
/TABLES=Q3 BY Q15
/FORMAT=AVALUE TABLES
/STATISTICS=CHISQ
/CELLS=COUNT
/COUNT ROUND CELL.
Resources Processor Time 00:00:00.02
Elapsed Time 00:00:00.05
Dimensions Requested 2
Cells Available 131029
71
Case Processing Summary
Cases
Valid Missing Total
N Percent N Percent N Percent
Approximately how many
followers do you have on
LinkedIn? * Have you
secured an internship before
graduation?
19 36.5% 33 63.5% 52 100.0%
Approximately how many followers do you have on LinkedIn? * Have you secured an
internship before graduation? Crosstabulation
Count
Have you secured an internship
before graduation?
TotalYes No
Approximately how many
followers do you have on
LinkedIn?
0-50 7 5 12
50-100 3 1 4
100+ 3 0 3
Total 13 6 19
Chi-Square Tests
Value df
Asymp. Sig. (2-
sided)
Pearson Chi-Square 2.030a 2 .362
Likelihood Ratio 2.900 2 .235
Linear-by-Linear Association 1.902 1 .168
N of Valid Cases 19
a. 5 cells (83.3%) have expected count less than 5. The minimum
expected count is .95.
CROSSTABS /TABLES=Q20 BY Q15
72
/FORMAT=AVALUE TABLES /STATISTICS=CHISQ /CELLS=COUNT /COUNT ROUND CELL.
Crosstabs
Notes
Output Created 06-MAY-2014 12:30:10
Comments
Input Data C:\Users\Nathan\LinkedIn_Survey.sav
Active Dataset DataSet1
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data
File52
Missing Value Handling Definition of Missing User-defined missing values are treated
as missing.
Cases Used Statistics for each table are based on all
the cases with valid data in the specified
range(s) for all variables in each table.
Syntax CROSSTABS
/TABLES=Q20 BY Q15
/FORMAT=AVALUE TABLES
/STATISTICS=CHISQ
/CELLS=COUNT
/COUNT ROUND CELL.
Resources Processor Time 00:00:00.00
Elapsed Time 00:00:00.01
Dimensions Requested 2
Cells Available 131029
73
Case Processing Summary
Cases
Valid Missing Total
N Percent N Percent N Percent
In your opinion, how effective
is LinkedIn during the
internship search process *
Have you secured an
internship before graduation?
19 36.5% 33 63.5% 52 100.0%
In your opinion, how effective is LinkedIn during the internship search process * Have you secured an
internship before graduation? Crosstabulation
Count
Have you secured an internship
before graduation?
TotalYes No
In your opinion, how effective
is LinkedIn during the
internship search process
Ineffective 2 0 2
Neither Effective nor
Ineffective4 1 5
Effective 5 4 9
Very Effective 2 1 3
Total 13 6 19
Chi-Square Tests
Value df
Asymp. Sig. (2-
sided)
Pearson Chi-Square 1.927a 3 .588
Likelihood Ratio 2.510 3 .473
Linear-by-Linear Association 1.116 1 .291
N of Valid Cases 19
a. 7 cells (87.5%) have expected count less than 5. The minimum
expected count is .63.
74
CROSSTABS /TABLES=Q8 BY Q15 /FORMAT=AVALUE TABLES /STATISTICS=CHISQ /CELLS=COUNT /COUNT ROUND CELL.
Crosstabs
Notes
Output Created 06-MAY-2014 12:31:25
Comments
Input Data C:\Users\Nathan\LinkedIn_Survey.sav
Active Dataset DataSet1
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data
File52
Missing Value Handling Definition of Missing User-defined missing values are treated
as missing.
Cases Used Statistics for each table are based on all
the cases with valid data in the specified
range(s) for all variables in each table.
Syntax CROSSTABS
/TABLES=Q8 BY Q15
/FORMAT=AVALUE TABLES
/STATISTICS=CHISQ
/CELLS=COUNT
/COUNT ROUND CELL.
Resources Processor Time 00:00:00.00
Elapsed Time 00:00:00.00
Dimensions Requested 2
Cells Available 131029
75
Case Processing Summary
Cases
Valid Missing Total
N Percent N Percent N Percent
How many times do you use
LinkedIn per month? * Have
you secured an internship
before graduation?
19 36.5% 33 63.5% 52 100.0%
How many times do you use LinkedIn per month? * Have you secured an
internship before graduation? Crosstabulation
Count
Have you secured an internship
before graduation?
TotalYes No
How many times do you use
LinkedIn per month?
1-3 4 1 5
3-10 7 2 9
10+ 2 3 5
Total 13 6 19
Chi-Square Tests
Value df
Asymp. Sig. (2-
sided)
Pearson Chi-Square 2.544a 2 .280
Likelihood Ratio 2.430 2 .297
Linear-by-Linear Association 1.754 1 .185
N of Valid Cases 19
a. 5 cells (83.3%) have expected count less than 5. The minimum
expected count is 1.58.BIBLIOGRAPHY
76
EXPERT, CAREER. "Beyond the Bubble." Career Center, Illinois Wesleyan University,
"January 2010 Newsletter"
Hempel, Jessi. "How LinkedIn will fire up your career." FORTUNE Magazine (2010).
Skeels, Meredith M., and Jonathan Grudin. "When social networks cross boundaries: a case
study of workplace use of facebook and linkedin." Proceedings of the ACM 2009
international conference on Supporting group work. ACM, 2009.
77